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This book is not just another theoretical text about statistics or data mining. No, instead it is aimed for database administrators who want to use SQL or bolster their understanding of statistics to support data mining and customer relationship management analytics.
Each chapter is self-contained, with examples tailored to real business applications. And each analysis technique will be expressed in a mathematical format for coding as either a database query or a Visual Basic procedure using SQL. Chapter contents include formulas, graphs, charts, tables, data mining techniques, and more!
|About the Authors|
|Ch. 1||Basic Statistical Principles and Diagnostic Tree||1|
|Ch. 2||Measures of Central Tendency and Dispersion||9|
|Ch. 3||Goodness of Fit||41|
|Ch. 4||Additional Tests of Hypothesis||85|
|Ch. 5||Curve Fitting||119|
|Ch. 6||Control Charting||181|
|Ch. 7||Analysis of Experimental Designs||229|
|Ch. 8||Time Series Analysis||277|
|App. A||Overview of Relational Database Structure and SQL||337|
|App. B: Statistical Tables||359|
|App. C: Tables of Statistical Distributions and Their Characteristics||373|
|App. D: Visual Basic Routines||381|